Satoshi Akaishi

4.7k citations
75 papers · 3.2k indexed · 1 hit paper · h-index 32

Satoshi Akaishi

68 papers receiving 3.1k citations

Hit Papers

Focal adhesion kinase links mechanical force to skin fibr...3782011202620162021100200300

Peers

Satoshi Akaishi
Comparison fields: 5 of 132
  • Dermatology 1.8k
  • Rehabilitation 1.0k
  • Cell Biology 508
  • Surgery 1.2k
  • Process Chemistry and Technology 68
Replace Jason A. Spector with:
Jason A. Spector United States
Mamta Shah United Kingdom
Zeshaan N. Maan United States
Dominik Duscher United States
Won Jai Lee South Korea
Hitomi Eto Japan
Jason P. Glotzbach United States
Charles B. Cuono United States
Edward I. Chang United States
Akiyoshi Hirano Japan
Satoshi Akaishi relative to Jason A. Spector United States Jason A. Spector's profile →
Citations per field
00.5×10.1×
Jason A. Spector · 1×
Citations per year

Countries citing papers authored by Satoshi Akaishi

Since Specialization
Citations

This map shows the geographic impact of Satoshi Akaishi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Satoshi Akaishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Akaishi more than expected).

Fields of papers citing papers by Satoshi Akaishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Akaishi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Satoshi Akaishi. The network helps show where Satoshi Akaishi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Satoshi Akaishi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Satoshi Akaishi Line = papers co-authored together Satoshi Akaishi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 202019
3 201951
4 201913
5 201681
6 201521
7 201362
8 201339
9 2012109
10 201273
11 2011159
12 20102
13 201055
14 200911
15 2008129
16 2008103
17 200744
18 20000
19 200060
20 199012

About Satoshi Akaishi

Satoshi Akaishi is a scholar working on Dermatology, Rehabilitation and Urology, having authored 75 papers that have together received 3.2k indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (41 papers), Body Contouring and Surgery (13 papers), Wound Healing and Treatments (11 papers), Facial Rejuvenation and Surgery Techniques (9 papers), Reconstructive Facial Surgery Techniques (8 papers), Laser Applications in Dentistry and Medicine (7 papers), Sympathectomy and Hyperhidrosis Treatments (7 papers) and Cancer and Skin Lesions (6 papers). The work is most often cited by research in Dermatology (1.8k citations), Rehabilitation (1.0k citations) and Cell Biology (508 citations). Satoshi Akaishi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Rei Ogawa, Hiko Hyakusoku, Chenyu Huang, Teruyuki Dohi, Victor W. Wong, Geoffrey C. Gurtner, Shigehiko Kuribayashi, Michael T. Longaker, Tsuguhiro Miyashita and Masayo Aoki. Their work appears in journals such as Plastic & Reconstructive Surgery, Annals of Plastic Surgery, Journal of Investigative Dermatology, Wound Repair and Regeneration and International Wound Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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